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CIKM
2008
Springer
15 years 6 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...
203
Voted
VLDB
2003
ACM
165views Database» more  VLDB 2003»
16 years 4 months ago
Learning to match ontologies on the Semantic Web
On the Semantic Web, data will inevitably come from many different ontologies, and information processing across ontologies is not possible without knowing the semantic mappings be...
AnHai Doan, Jayant Madhavan, Robin Dhamankar, Pedr...
UM
2007
Springer
15 years 10 months ago
Inducing User Affect Recognition Models for Task-Oriented Environments
Accurately recognizing users’ affective states could contribute to more productive and enjoyable interactions, particularly for task-oriented learning environments. In addition t...
Sunyoung Lee, Scott W. McQuiggan, James C. Lester
IJET
2006
112views more  IJET 2006»
15 years 3 months ago
Personalized E-Learning in the Semantic Web
: The challenge of the semantic web is the provision of distributed information with well defined meaning, understandable for different parties. Particularly, applications should b...
Nicola Henze
IADIS
2008
15 years 5 months ago
e-Learning Courseware Effort Estimate Model
This paper presents an improved software estimation model, which uses to estimate developing effort of e-Learning's contents. This model is called the e-Learning courseware E...
Vajirasak Vanijja, Athitha Chokananratana